Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist GDIT’s NASA initiatives

• Organize and detail the portfolio’s data with clear, consistent, and searchable dataset records

• Develop and maintain taxonomies, controlled vocabularies, a shared business glossary, metadata, and documentation standards

• Establish cataloging and metadata standards and ensure the data team adheres to them

• Aid analysts, engineers, and program personnel in locating, interpreting, and evaluating data provenance and limitations

• Introduce new datasets while phasing out outdated ones

• Document data provenance and ownership, apply sensitivity and controlled (CUI) classification, and identify data quality issues

• Trace data lineage comprehensively across sources, systems, owners, flows, transformations, and downstream users

• Assess, implement, and integrate an enterprise data catalog tool like DataHub, Atlan, Collibra, Alation, or Microsoft Purview

• Define the metadata model and connect the catalog with portfolio data sources

• Ensure catalog integration with the Dagster data orchestration tool

• Define and monitor metrics for metadata completeness, documentation, and freshness

• Promote catalog usage throughout the portfolio and act as the primary contact for data discovery, description, and application

⛳️ Requirements

• Master’s in Library and Information Science (MLIS/MLS) with a focus on data curation, research data management, or informatics, or a related information or data degree with proven cataloging and metadata experience

• US Citizenship and the capability to secure necessary agency clearance

• Over 5 years of experience in a data librarian, research data services, data curation, or metadata and catalog position

• Practical experience in managing a data catalog or metadata management platform, such as DataHub, Atlan, Collibra, Alation, Informatica, Microsoft Purview, or Amundsen, or equivalent experience overseeing a metadata repository or catalog

• Familiarity with data team operations, including pipelines, data flows, and the production and utilization of data, adequate for accurately capturing lineage and metadata

• Proficient in metadata standards, taxonomies, controlled vocabularies, and data dictionaries

• Proven ability to encourage adoption of a catalog, standard, or shared data practice across various teams

• Exceptional written and verbal communication skills; capable of bridging the gap between technical and program audiences

• Basic understanding of data engineering practices, including pipelines and orchestration, warehouses and lakes, and transformation workflows

• Basic understanding of data science practices, including sourcing, preparing, and utilizing data for analysis and modeling

🏝️ Benefits

• Options for medical plans, including those with Health Savings Accounts

• Options for dental plans

• Vision plan availability

• 401(k) plan with pre-tax and post-tax contributions, along with company matching

• Flexible work weeks where feasible

• Paid vacation, sick, and personal time

• Paid holidays

• Paid parental leave

• Military leave

• Bereavement leave

• Jury duty leave

• Typically, 15 days of paid leave per calendar year for new employees

• An additional 10 paid holidays each year

• Up to 160 hours of paid family leave within a rolling 12-month period for eligible employees

• Short- and long-term disability benefits

• Life insurance coverage

• Accidental death and dismemberment insurance

• Personal accident insurance

• Critical illness insurance

• Business travel and accident insurance